Xavier John Lionel
Product Manager @Arm
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WORK HISTORY
Product Manager @Arm
Cambridge, GB
Hardware Product Manager at Arm – Edge AI Business Unit, responsible for Cortex-M, Cortex-R, and interconnect product portfolios• Own product strategy, roadmap definition, feature prioritization, and delivery for embedded and real-time compute platforms• Drive alignment across architecture, design, verification, software, ecosystem, and customer teams• Translate IoT and Edge AI system requirements into scalable, power-efficient, and safety-capable silicon solutions• Act as the technical bridge between engineering teams and business stakeholders, enabling informed product decisions
EDUCATION
MAM College of Engineering, Anna University
Bachelor's degree, Electrical, Electronics and Communications Engineering
SKILLS
ABOUT XAVIER JOHN LIONEL
HW Product Manager | Edge AI & IoT | Cortex-M, Cortex-R & Interconnects | Embedded & Real-Time Compute• Hardware Product Manager at Arm – Edge AI Business Unit, owning Cortex-M, Cortex-R, and interconnect product portfolios• Responsible for product strategy, roadmap definition, feature prioritization, and execution for embedded and real-time compute platforms• Drive alignment across architecture, design, verification, software, ecosystem, and customer teams• Translate IoT and Edge AI system requirements into scalable, power-efficient, and safety-capable silicon solutions• Influence architectural decisions by balancing performance, power, safety, scalability, and time-to-market• Act as the technical bridge between engineering, customers, partners, and business stakeholdersPrior experience as a SoC / IP Design Verification engineer with ownership of full-chip and IP-level verification• Built UVM/VMM/OVM-based verification environments, constraint-random tests, functional coverage, and assertion-based verification• Strong expertise in SystemVerilog, Verilog, C, ASM, and SV/ASM assertions• Deep understanding of SoC architectures, AXI and Ethernet protocols, and silicon integration challenges• Verification background enables strong judgment on product quality, robustness, and system-level trade-offs• Passionate about enabling reliable, efficient, and scalable compute for IoT, industrial, and Edge AI systems
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